Senior Data Specialist

3 hours ago

Vijayawada, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 18,43,200 - ₹ 22,84,000

About Our Team

We are seeking a highly skilled professional to design, build and optimize scalable data pipelines and Lakehouse architectures on the Azure platform.

Key Responsibilities:

  • Create and maintain scalable data pipelines using Azure Data Factory and Azure Synapse Analytics.
  • Build and optimize lakehouse architectures on Azure using Delta Lake.
  • Collaborate with stakeholders to understand their requirements and provide thought leadership to translate the same into technical scripts.
  • Implement data ingestion transformation and orchestration workflows from diverse sources APIs databases cloud storage.
  • E nsure data quality consistency and security across the data lifecycle.
  • Leverage Azure services such as Data Lake Storage Gen2 Event Hubs Azure Functions and Key Vault.
  • Implement Infrastructure as Code IaC using Terraform or Bicep for automated provisioning and configuration.
  • Optimize cloud resource usage for performance and cost-efficiency.
  • Design and implement star schema and other data modeling techniques to support analytical workloads.
  • Work closely with analysts and data scientists to deliver advanced analytics solutions.
  • Conduct data quality assessments and contribute to data governance initiatives.

Required Technical Skills:

  • Expert-level experience with Azure Data Services: Azure Data Factory Azure Databricks Azure Synapse Azure Data Lake Storage.
  • Strong proficiency in SQL for complex transformations and performance tuning.
  • Advanced Python skills for data pipeline development and orchestration.
  • Experience with Terraform or similar IaC tools for Azure.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience with containerization Docker Kubernetes is a plus.
  • Strong understanding of data governance security RBAC VNETs Managed Identities and compliance in Azure.

Soft Skills & Mindset:

  • Growth mindset with a passion for continuous learning and innovation.
  • Strong collaboration skills across engineering analytics and business teams.
  • Robust client management skills.
  • Structured problem-solving approach with a focus on scalability and maintainability.
  • Resilient under pressure with a solution-oriented attitude.
  • Excellent communication and documentation skills.

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